electricsheepafrica/africa-tunisia-les-pourcentages-d-approvisionnement-en-eau-potable-dans-l-c6f39d05

les pourcentages d'approvisionnement en eau potable dans la région de Gafsa en 2019 | Africa (Tunisia official open data)

13 rows - 1 Africa country - 2019 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Tunisia as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

• Source: les pourcentages d'approvisionnement en eau potable dans la région de Gafsa en 2019
• Publisher: Ministère de l'Agriculture, des Ressources Hydrauliques et de la Pêche
• Resource: approvisionnement en eau potable dans la région de Gafsa en 2019
• Format: CSV
• License: Licence Nationale de Données Publiques Ouvertes
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
TUN	13	2019	2019	Tunisia

Indicators or Resource Contents

• This source file is packaged as a normalized tabular resource.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier for tabular resources.	a3f90976-01c5-43cc-8fb9-e5c1c9bed5d3:0
country_iso3	string	ISO3 country code.	TUN
country_name	string	Country name.	Tunisia
year	Int64	Observation year.	2019
delegation	string	Source column.	``
nbre_d_habitants	float64	Source column.	``
n_hab_approv	float64	Source column.	``
unnamed_3	float64	Source column.	``
d_approv	float64	Source column.	``
unnamed_5	float64	Source column.	``
nbre_total_des_hab_approv	float64	Source column.	``
total	float64	Source column.	``
source_period_start_year	Int64	First year inferred from source resource metadata.	2019
source_period_end_year	Int64	Last year inferred from source resource metadata.	2019
source_period_label	string	Human-readable period inferred from source resource metadata.	2019
source_provider	string	Publishing organization.	Ministère de l'Agriculture, des Ressources Hydrauliques et de la Pêche
source_dataset	string	Source package title.	les pourcentages d'approvisionnement en eau potable dans la région de Ga
source_resource	string	Source resource title.	approvisionnement en eau potable dans la région de Gafsa en 2019
source_package_id	string	CKAN package UUID.	77940a30-e946-48f6-9778-98b920c58d9a
source_resource_id	string	CKAN resource UUID.	a3f90976-01c5-43cc-8fb9-e5c1c9bed5d3
source_url	string	Original source resource URL.	https://catalog.agridata.tn/dataset/6f17ad4c-b880-44dc-949e-3c646a9860a6
license_id	string	Source license identifier.	licence-nationale-de-données-publiques-ouvertes
retrieved_at	string	UTC retrieval timestamp.	2026-07-18T23:08:36Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-tunisia-les-pourcentages-d-approvisionnement-en-eau-potable-dans-l-c6f39d05")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "TUN"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_tunisia_les_pourcentages_d_approvisionnement_en_eau_potable_dans_l_c6f39d_2019,
  title        = {les pourcentages d'approvisionnement en eau potable dans la région de Gafsa en 2019 | Africa (Tunisia official open data)},
  author       = {Ministère de l'Agriculture, des Ressources Hydrauliques et de la Pêche},
  year         = {2019},
  url          = {https://catalog.data.gov.tn/dataset/les-pourcentages-d-approvisionnement-en-eau-potable-dans-la-region-de-gafsa-en-2019},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-les-pourcentages-d-approvisionnement-en-eau-potable-dans-l-c6f39d05}}
}

License

Released under Licence Nationale de Données Publiques Ouvertes.

Original data (c) Ministère de l'Agriculture, des Ressources Hydrauliques et de la Pêche. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepafrica

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Provenance: ingested 2026-07-19 via the Electric Sheep pipeline. Source URL: https://catalog.agridata.tn/dataset/6f17ad4c-b880-44dc-949e-3c646a9860a6/resource/4d0483f1-65fd-4764-9bc1-76e532beca79/download/app-en-eau-potable-2019.csv